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Sustainable manufacturing may be defined as the creation of manufactured products that use processes that are non-polluting, conserve energy and natural resources, and are economically sound and safe for employees, communities and consumers. Recently, there have been several industrial and governmental endeavors to launch sustainable manufacturing initiatives. To support such initiatives and to prepare the next generation of scientists and engineers, academic institutions have a responsibility to introduce educational programs and tools in the area of sustainable manufacturing. The purpose of this paper is to report on the approach, progress and contributions of a US National Science Foundation-sponsored project titled: “The Sustainable Manufacturing Advances in Research and Technology Coordination Network (SMART CN)”.

The project aims to bridge the gap between the academic knowledge discovery and industrial technology innovation for sustainable manufacturing. Toward this goal, various research and educational activities have been undertaken to introduce Sustainable Manufacturing Case Studies for use by academic instructors to a diverse group of undergraduate, graduate and industry professionals.

In this paper, the need for education on sustainable manufacturing has been focused upon, followed by approaches toward addressing these needs, concluding with examples of case studies developed through the SMART-CN project framework.

This work provides the engineering community with structured modules for introducing the topic of sustainable manufacturing in the curriculum.

This study seeks to empirically and theoretically show how and why food chain specific advantages along with country-specific and firm-specific advantages impact the development of competences and shape distinct strategies for international growth.

Case studies were conducted with three Brazilian meatpacking firms with solid global operations. Top managers in charge of international operations were interviewed and documents were collected. Data were coded and submitted to triangulation. Content analysis was used as data analysis technique.

Results suggest that a meso-level of analysis is important to understand the development of competences and strategies for internationalization of meatpacking firms. Additionally, it was found that the internationalization process of meatpacking firms are supported by four supportive competences, namely: technical, production, sales and logistics competences. Findings also reveal that these companies tend to pursue either a raw material seeker or local taste supplier strategy.

International business scholars have struggled to incorporate meso-level characteristics into mainstream literature. This paper tries to fill in this gap by incorporating distinctive features from the food supply chain in the analysis. Two novel international strategy typologies were introduced by considering firm-, food chain- and country-specific advantages. It also proposes sound theoretical and managerial evidence to support public and private decision-making.

Recent developments in the psychometric assessment of youth psychopathic traits suggest that the inclusion of a conduct disorder (CD) factor to the traditional three factors of the psychopathy construct may improve the incremental validity of these measures. The purpose of the current study is to examine whether the addition of a CD factor incrementally improves the ability of the Youth Psychopathic Traits Inventory Short version (YPI-S) to predict criminal recidivism.

A longitudinal quantitative research design was used with a sample detained male youth (N = 214, M_age = 16.4 years, SD_age = 1.3 years).

Results using the area under the curve analysis suggest that the inclusion of a CD factor slightly improves the capacity of the YPI-S to predict one-year general criminal recidivism, but it does not significantly increase its capacity to predict violent criminal recidivism. Results also indicate that a CD scale outperforms the YPI-S, even with an additional CD factor included, in terms of predicting one-year general and violent recidivism.

Self-reported youth psychopathic trait measures, even those that include a CD factor as a fourth factor, should be used with caution when the aim is to predict youth criminal recidivism.

To the best of the authors’ knowledge, this is the first study using a self-reported youth psychopathic traits measure with a CD factor to examine youth criminal recidivism.

Artists operating under a studio model, such as Andy Warhol, have frequently been described as reducing their work to statements of authorship, indicated by the signature finally affixed to the work. By contrast, luxury goods manufacturers decry as inauthentic and counterfeit the handbags produced during off-shift hours using the same materials and craftsmanship as the authorized goods produced hours earlier. The distinction between authentic and inauthentic often turns on nothing more than a statement of authorship. Intellectual property law purports to value such statements of authenticity, but no statement has value unless it is accepted as valid by its audience, a determination that depends on shared notions of what authenticity means as well as a common understanding of what authenticity designates.

The paper focuses on how knowledge visualization supports the development of a particular multiobjective decision-making problem as a portfolio optimization problem in the context of interorganizational collaboration between universities and a large automotive company. This paper fits with the emergent knowledge visualization literature because it helps to explain decision-making related to the development of a multiobjective optimization model in Lean Product Development settings. We investigate how using ad hoc visual tools supports knowledge translation and knowledge sharing, enhancing managerial judgment and decision-making.

The empirical case in this study concerns the setting up of a multiobjective decision-making model as a portfolio optimization problem to analyze and select alternatives for upgrading the lean production process quality at an FCA plant.

The study shows how knowledge visualization and the associated tools work to enable knowledge translation and knowledge sharing, supporting decision-making. The empirical findings show why and how knowledge visualization can be used to foster knowledge translation and sharing among individuals and from individuals to groups. Knowledge visualization is understood as both a collective and interactional process and a systematic approach where different players translate their expertise, share a framework and develop common ground to support decision-making.

From a theoretical perspective, the paper expands the understanding of knowledge visualization as a system of practices that support the development of a multiobjective decision-making method. From an empirical point of view, our results may be useful to other firms in the automotive industry and for academics wishing to develop applied research on portfolio optimization.

The purpose of this paper is to improve disaster management models, have an optimal distribution of assets, reduce human suffering in a crisis and find a good solution for warehouse locations, distribution points, inventory levels and costs, considering the uncertainty of a wide range of variables, to serve as a support model for decision making in real situations.

A model is developed based on the recent models. It includes structured and non-structured data (historical knowledge) from a humanitarian perspective. This model considers the uncertainty in a landslide and flood area and it is applied in a representative Peruvian city.

The proposed model can be used to determine humanitarian aid supply and its distribution with uncertainty, regarding the affected population and its resilience. This model presents a different point of view from the efficiency of the logistics perspective, to identify the level of trust between all the stakeholders (public, private and academic). The finding provides a new insight in disaster management to cover the gap between applied research and human behavior in crisis.

In this study the access of reliable information is limited.

This paper provides an operation model with uncertainty in a humanitarian crisis and a decision-making tool with some recommendation for further public policies.

This study presents a model for decision makers in a low-income zone and highlights the importance of preparedness in the humanitarian system. This paper expands the discussion of how the mathematical models and human behaviors interact with different perspectives in a humanitarian crisis.

The previous decade has been characterized by emerging market firms expanding into international markets. This trend has led to scholars in the IB arena to grapple with the new phenomenon of emerging multinational enterprises (EMNEs), specifically the relationship between internationalization and performance of the EMNEs. This paper seeks to add to the literature by capturing the impact of firm resources on the internationalization‐performance relationship. Empirical analysis on a sample of 787 Indian manufacturing firms indicates that there is a non‐linear relationship between internationalization and performance. Findings also indicate that a firm’s capabilities in cost efficiency and marketing have a moderating impact on this relationship.

The purpose of this paper is to investigate what factors drive collaborative entrepreneurship. To do so, the authors examine the joint influence of both firm resources and entrepreneurial orientation on the decision to establish interfirm alliances. The paper considers new variables which are likely to determine the phenomenon.

Based on a random sample, the authors performed a cross‐sectional study among 84 Portuguese firms. Data collection was made by an online questionnaire with a personalised link and answer control codes. For data analyses, the authors used descriptive statistics and logistic regression (logit model).

The results indicate that several resources and some dimensions of entrepreneurial orientation are linked with collaborative entrepreneurship, but the effects are rather mixed. In particular, financial, commercial and administrative resources, as well as innovative potential and collective capability, seem to be most relevant for the alliance engagement.

This study contributes to a better understanding of collaborative entrepreneurship. Knowing the driving forces behind this phenomenon helps firms to engage more actively in interfirm cooperation.

Consideration of the micro-foundations of sustainability, arising from an empirical study of Conscious Corporate Growth in business enterprises, shows the capacity of firms to act as a vehicle to nurture virtue and human well-being. The example of love is used to examine the capacity of individuals and organizations to engage in such activity. We are unable to understand love without direct experience of it. That experience may help us to engage in similar activity, through mindfulness and other contemplative practices, to train ourselves and our organizations in conscious sustainability.

While marketing and management research suggests that managers’ individual characteristics influence pricing decisions, the influence of personality traits in this context remains unclear. This study aims to explore the relationship between the five basic personality traits of the five-factor model (extraversion, conscientiousness, openness to experience, agreeableness and neuroticism) and three basic pricing practices (value-, competition- and cost-informed).

On the basis of a non-experimental decision-making scenario, the analysis examines the pricing decisions of 57 managers in relation to a new business service.

The results suggest that managers’ conscientiousness and openness to experience are positively related to preference for value-informed pricing. Similarly, managers’ agreeableness is positively related to preference for competition-informed pricing and managers’ openness to experience and agreeableness are positively related to preference for cost-informed pricing.

The cross-sectional study design does not support causal inference, and the modest sample size may limit the external validity of the findings.

By increasing awareness of the influence of personality on pricing preferences, the findings are of relevance to managers who are directly involved in pricing decisions. Additionally, the findings are informative for managers who must assign responsibility for pricing authority within firms.

This empirical exploration of the relationship between certain personality traits and specific pricing practices contributes to the literature on psychological aspects of pricing theory by showing how managerial personality influences pricing preferences under uncertainty.